Jim Steel

1.4k citations
29 papers · 538 indexed · h-index 12
Topics
Model-Driven Software Engineering Techniques (15 papers)Service-Oriented Architecture and Web Services (8 papers)Advanced Software Engineering Methodologies (8 papers)
Partner nations
AustraliaFranceGermany

In The Last Decade

Jim Steel

28 papers receiving 487 citations

Peers

Jim Steel
Comparison fields: 5 of 66
  • Software 317
  • Artificial Intelligence 282
  • Information Systems 277
  • Computer Networks and Communications 103
  • Management Information Systems 56
Replace Kevin Liu with:
Kevin Liu United States
Maria João Varanda Pereira Portugal
Jack Greenfield United States
Radziah Mohamad Malaysia
Joseph W. Yoder United States
Gerti Kappel Austria
Carma McClure United States
Daniel Mellado Spain
Bahman Zamani Iran
Sultan Alyahya Saudi Arabia
Jim Steel relative to Kevin Liu United States Kevin Liu's profile →
Citations per field
00.5×7.3×
Kevin Liu · 1×
Citations per year

Countries citing papers authored by Jim Steel

Since Specialization
Citations

This map shows the geographic impact of Jim Steel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jim Steel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Steel more than expected).

Fields of papers citing papers by Jim Steel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jim Steel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jim Steel. The network helps show where Jim Steel may publish in the future.

Co-authorship network of co-authors of Jim Steel

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Steel. A scholar is included among the top collaborators of Jim Steel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jim Steel. Jim Steel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 2
3 43
4
A pseudo-genetic algorithm for optimising test cases
0
5
Engineering Modeling Languages: Turning Domain Knowledge into Tools
25
6 27
7 8
8 3
9 4
10 4
11 12
12 2
13
Using Ontologies for Decision Support in Resource Messaging
2
14 67
15 18
16
MOF QVT final adopted specification: meta object facility (MOF) 2.0 query/view/transformation specification.
102
17 29
18 4
19 3
20
High Performance Computing for All
2

About Jim Steel

Jim Steel is a scholar working on Software, Information Systems and Computer Science Applications, having authored 29 papers that have together received 538 indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (15 papers), Service-Oriented Architecture and Web Services (8 papers) and Advanced Software Engineering Methodologies (8 papers). The work is most often cited by research in Software (317 citations), Information Systems (277 citations) and Artificial Intelligence (282 citations). Jim Steel has collaborated with scholars based in Australia, France and Germany. Frequent co-authors include Jean‐Marc Jezéquél, Benoît Baudry, Franck Fleurey, Michael Lawley, Keith Duddy, Kerry Raymond, Yves Le Traon, Alejandro Metke‐Jimenez, David Hansen and Bernhard Rumpe⋆. Their work appears in journals such as Lecture notes in computer science, Software & Systems Modeling and ACM Transactions on Computing Education.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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